{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:06:44.721.793 [mindspore/_check_version.py:207] MindSpore version 1.1.1 and \"te\" wheel package version 1.0 does not match, reference to the match info on: https://www.mindspore.cn/install\n",
      "MindSpore version 1.1.1 and \"topi\" wheel package version 0.6.0 does not match, reference to the match info on: https://www.mindspore.cn/install\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:06:45.247.193 [mindspore/ops/operations/array_ops.py:2302] WARN_DEPRECATED: The usage of Pack is deprecated. Please use Stack.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: 'ControlDepend' is deprecated from version 1.1 and will be removed in a future version, use 'Depend' instead.\n"
     ]
    }
   ],
   "source": [
    "\"\"\"train deeplabv3.\"\"\"\n",
    "import os\n",
    "import sys\n",
    "sys.path.insert(0,'./code')     # your code path\n",
    "from easydict import EasyDict as edict\n",
    "import shutil\n",
    "\n",
    "import moxing as mox\n",
    "from mindspore import context\n",
    "from mindspore.train.model import ParallelMode, Model\n",
    "import mindspore.nn as nn\n",
    "from mindspore.train.callback import ModelCheckpoint, CheckpointConfig\n",
    "from mindspore.train.serialization import load_checkpoint, load_param_into_net\n",
    "from mindspore.communication.management import init, get_rank, get_group_size\n",
    "from mindspore.train.callback import LossMonitor, TimeMonitor\n",
    "from mindspore.train.loss_scale_manager import FixedLossScaleManager\n",
    "from mindspore.common import set_seed\n",
    "from src import dataset as data_generator\n",
    "from src import loss\n",
    "from src import deeplab_v3\n",
    "from src import learning_rates\n",
    "\n",
    "set_seed(1)\n",
    "context.set_context(mode=context.GRAPH_MODE, enable_auto_mixed_precision=True, save_graphs=False,\n",
    "                    device_target=\"Ascend\", device_id=3)\n",
    "\n",
    "\n",
    "class BuildTrainNetwork(nn.Cell):\n",
    "    def __init__(self, network, criterion):\n",
    "        super(BuildTrainNetwork, self).__init__()\n",
    "        self.network = network\n",
    "        self.criterion = criterion\n",
    "\n",
    "    def construct(self, input_data, label):\n",
    "        output = self.network(input_data)\n",
    "        net_loss = self.criterion(output, label)\n",
    "        return net_loss\n",
    "\n",
    "def train(args):\n",
    "    # init multicards training\n",
    "    if args.is_distributed:\n",
    "        init()\n",
    "        args.rank = get_rank()\n",
    "        args.group_size = get_group_size()\n",
    "\n",
    "        parallel_mode = ParallelMode.DATA_PARALLEL\n",
    "        context.set_auto_parallel_context(parallel_mode=parallel_mode, gradients_mean=True, device_num=args.group_size)\n",
    "    \n",
    "    \n",
    "    # dataset\n",
    "    dataset = data_generator.SegDataset(image_mean=args.image_mean,\n",
    "                                        image_std=args.image_std,\n",
    "                                        data_file=args.data_file,\n",
    "                                        batch_size=args.batch_size,\n",
    "                                        crop_size=args.crop_size,\n",
    "                                        max_scale=args.max_scale,\n",
    "                                        min_scale=args.min_scale,\n",
    "                                        ignore_label=args.ignore_label,\n",
    "                                        num_classes=args.num_classes,\n",
    "                                        num_readers=2,\n",
    "                                        num_parallel_calls=4,\n",
    "                                        shard_id=args.rank,\n",
    "                                        shard_num=args.group_size)\n",
    "    dataset.get_gray_dataset()\n",
    "    dataset.get_mindrecord_dataset(is_training=True)\n",
    "    dataset = dataset.get_dataset(repeat=1)\n",
    "    \n",
    "\n",
    "    # network\n",
    "    if args.model == 'deeplab_v3_s16':\n",
    "        network = deeplab_v3.DeepLabV3('train', args.num_classes, 16, args.freeze_bn)\n",
    "    elif args.model == 'deeplab_v3_s8':\n",
    "        network = deeplab_v3.DeepLabV3('train', args.num_classes, 8, args.freeze_bn)\n",
    "    else:\n",
    "        raise NotImplementedError('model [{:s}] not recognized'.format(args.model))\n",
    "\n",
    "    # loss\n",
    "    loss_ = loss.SoftmaxCrossEntropyLoss(args.num_classes, args.ignore_label)\n",
    "    loss_.add_flags_recursive(fp32=True)\n",
    "    train_net = BuildTrainNetwork(network, loss_)\n",
    "\n",
    "    # load pretrained model\n",
    "    param_dict = load_checkpoint(args.ckpt_file)\n",
    "    load_param_into_net(train_net, param_dict)\n",
    "\n",
    "    # optimizer\n",
    "    iters_per_epoch = dataset.get_dataset_size()\n",
    "    total_train_steps = iters_per_epoch * args.train_epochs\n",
    "    if args.lr_type == 'cos':\n",
    "        lr_iter = learning_rates.cosine_lr(args.base_lr, total_train_steps, total_train_steps)\n",
    "    elif args.lr_type == 'poly':\n",
    "        lr_iter = learning_rates.poly_lr(args.base_lr, total_train_steps, total_train_steps, end_lr=0.0, power=0.9)\n",
    "    elif args.lr_type == 'exp':\n",
    "        lr_iter = learning_rates.exponential_lr(args.base_lr, args.lr_decay_step, args.lr_decay_rate,\n",
    "                                                total_train_steps, staircase=True)\n",
    "    else:\n",
    "        raise ValueError('unknown learning rate type')\n",
    "    opt = nn.Momentum(params=train_net.trainable_params(), learning_rate=lr_iter, momentum=0.9, weight_decay=0.0001,\n",
    "                      loss_scale=args.loss_scale)\n",
    "\n",
    "    # loss scale\n",
    "    manager_loss_scale = FixedLossScaleManager(args.loss_scale, drop_overflow_update=False)\n",
    "    model = Model(train_net, optimizer=opt, amp_level=\"O3\", loss_scale_manager=manager_loss_scale)\n",
    "\n",
    "    # callback for saving ckpts\n",
    "    time_cb = TimeMonitor(data_size=iters_per_epoch)\n",
    "    loss_cb = LossMonitor()\n",
    "    cbs = [time_cb, loss_cb]\n",
    "\n",
    "    if args.rank == 0:\n",
    "        config_ck = CheckpointConfig(save_checkpoint_steps=iters_per_epoch,\n",
    "                                     keep_checkpoint_max=args.keep_checkpoint_max)\n",
    "        ckpoint_cb = ModelCheckpoint(prefix=args.model, directory=args.train_dir, config=config_ck)\n",
    "        cbs.append(ckpoint_cb)\n",
    "\n",
    "    model.train(args.train_epochs, dataset, callbacks=cbs,dataset_sink_mode=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "converting voc color png to gray png ...\n",
      "converting done\n",
      "creating mindrecord dataset...\n",
      "number of samples: 1464\n",
      "number of samples written: 1000\n",
      "number of samples written: 1464\n",
      "Create Mindrecord Done\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.301.739 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.322.725 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.343.599 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.376.714 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.401.200 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.425.427 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.449.901 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.504.679 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.545.243 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.586.504 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.627.767 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.668.131 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.708.707 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.750.580 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.791.614 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.832.684 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.873.759 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.915.017 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.956.865 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:10.997.968 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.396.48 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.811.02 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.122.881 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.163.321 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.204.267 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.245.485 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.286.562 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.327.553 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.368.753 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.411.033 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.559.256 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.665.020 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:07:11.769.639 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1 step: 91, loss is 0.003711463\n",
      "epoch time: 273155.695 ms, per step time: 3001.711 ms\n",
      "epoch: 2 step: 91, loss is 0.0046194047\n",
      "epoch time: 77657.743 ms, per step time: 853.382 ms\n",
      "epoch: 3 step: 91, loss is 0.0046818713\n",
      "epoch time: 77627.167 ms, per step time: 853.046 ms\n"
     ]
    }
   ],
   "source": [
    "cfg = edict({\n",
    "    \"batch_size\": 16,\n",
    "    \"crop_size\": 513,\n",
    "    \"image_mean\": [103.53, 116.28, 123.675],\n",
    "    \"image_std\": [57.375, 57.120, 58.395],\n",
    "    \"min_scale\": 0.5,\n",
    "    \"max_scale\": 2.0,\n",
    "    \"ignore_label\": 255,\n",
    "    \"num_classes\": 21,\n",
    "    \"train_epochs\" : 3,\n",
    "\n",
    "    \"lr_type\": 'cos',\n",
    "    \"base_lr\": 0.0,\n",
    "\n",
    "    \"lr_decay_step\": 3*91,\n",
    "    \"lr_decay_rate\" :0.1,\n",
    "\n",
    "    \"loss_scale\": 2048,      \n",
    "\n",
    "    \"model\": 'deeplab_v3_s8',\n",
    "    'rank': 0,\n",
    "    'group_size':1,\n",
    "    'keep_checkpoint_max':1,\n",
    "    'train_dir': 'model',\n",
    "\n",
    "    'is_distributed':False,\n",
    "    'freeze_bn':True\n",
    "})\n",
    "\n",
    "if os.path.exists(cfg.train_dir):\n",
    "    shutil.rmtree(cfg.train_dir)\n",
    "    \n",
    "data_path = './VOC2012'\n",
    "if not os.path.exists(data_path):\n",
    "    mox.file.copy_parallel(src_url=\"s3://share-course/dataset/voc2012/\", dst_url=data_path)\n",
    "cfg.data_file = data_path\n",
    "\n",
    "ckpt_path = 'deeplab_v3_s8-300_11.ckpt'\n",
    "if not os.path.exists(ckpt_path):\n",
    "    mox.file.copy_parallel(src_url=\"s3://share-course/checkpoint/deeplabv3/deeplab_v3_s8-300_11.ckpt\", dst_url=ckpt_path)\n",
    "cfg.ckpt_file = ckpt_path\n",
    "\n",
    "train(cfg)\n",
    "# if the model is needed in next time, you can save the mode file to yours obs.\n",
    "mox.file.copy_parallel(src_url=cfg.train_dir, dst_url=os.path.join(\"s3://yyq-2/DATA/code/deeplabv3/\",cfg.train_dir)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"eval deeplabv3.\"\"\"\n",
    "import os\n",
    "import sys\n",
    "sys.path.insert(0,'./code')     # your code path\n",
    "from easydict import EasyDict as edict\n",
    "from PIL import Image\n",
    "import PIL\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import matplotlib.colors as colors\n",
    "import numpy as np\n",
    "import cv2\n",
    "import moxing as mox\n",
    "\n",
    "from mindspore import Tensor\n",
    "import mindspore.common.dtype as mstype\n",
    "import mindspore.nn as nn\n",
    "from mindspore import context\n",
    "from mindspore.train.serialization import load_checkpoint, load_param_into_net\n",
    "from src import deeplab_v3\n",
    "from src import dataset as data_generator\n",
    "\n",
    "context.set_context(mode=context.GRAPH_MODE, device_target=\"Ascend\", save_graphs=False,\n",
    "                    device_id=3)\n",
    "\n",
    "\n",
    "def cal_hist(a, b, n):\n",
    "    k = (a >= 0) & (a < n)\n",
    "    return np.bincount(n * a[k].astype(np.int32) + b[k], minlength=n ** 2).reshape(n, n)\n",
    "\n",
    "\n",
    "def resize_long(img, long_size=513):\n",
    "    h, w, _ = img.shape\n",
    "    if h > w:\n",
    "        new_h = long_size\n",
    "        new_w = int(1.0 * long_size * w / h)\n",
    "    else:\n",
    "        new_w = long_size\n",
    "        new_h = int(1.0 * long_size * h / w)\n",
    "    imo = cv2.resize(img, (new_w, new_h))\n",
    "    return imo\n",
    "\n",
    "\n",
    "class BuildEvalNetwork(nn.Cell):\n",
    "    def __init__(self, network):\n",
    "        super(BuildEvalNetwork, self).__init__()\n",
    "        self.network = network\n",
    "        self.softmax = nn.Softmax(axis=1)\n",
    "\n",
    "    def construct(self, input_data):\n",
    "        output = self.network(input_data)\n",
    "        output = self.softmax(output)\n",
    "        return output\n",
    "\n",
    "\n",
    "def pre_process(args, img_, crop_size=513):\n",
    "    # resize\n",
    "    img_ = resize_long(img_, crop_size)\n",
    "    resize_h, resize_w, _ = img_.shape\n",
    "\n",
    "    # mean, std\n",
    "    image_mean = np.array(args.image_mean)\n",
    "    image_std = np.array(args.image_std)\n",
    "    img_ = (img_ - image_mean) / image_std\n",
    "\n",
    "    # pad to crop_size\n",
    "    pad_h = crop_size - img_.shape[0]\n",
    "    pad_w = crop_size - img_.shape[1]\n",
    "    if pad_h > 0 or pad_w > 0:\n",
    "        img_ = cv2.copyMakeBorder(img_, 0, pad_h, 0, pad_w, cv2.BORDER_CONSTANT, value=0)\n",
    "\n",
    "    # hwc to chw\n",
    "    img_ = img_.transpose((2, 0, 1))\n",
    "    return img_, resize_h, resize_w\n",
    "\n",
    "\n",
    "def eval_batch(args, eval_net, img_lst, crop_size=513, flip=True):\n",
    "    result_lst = []\n",
    "    batch_size = len(img_lst)\n",
    "    batch_img = np.zeros((args.batch_size, 3, crop_size, crop_size), dtype=np.float32)\n",
    "    resize_hw = []\n",
    "    for l in range(batch_size):\n",
    "        img_ = img_lst[l]\n",
    "        img_, resize_h, resize_w = pre_process(args, img_, crop_size)\n",
    "        batch_img[l] = img_\n",
    "        resize_hw.append([resize_h, resize_w])\n",
    "\n",
    "    batch_img = np.ascontiguousarray(batch_img)\n",
    "    net_out = eval_net(Tensor(batch_img, mstype.float32))\n",
    "    net_out = net_out.asnumpy()\n",
    "\n",
    "    if flip:\n",
    "        batch_img = batch_img[:, :, :, ::-1]\n",
    "        net_out_flip = eval_net(Tensor(batch_img, mstype.float32))\n",
    "        net_out += net_out_flip.asnumpy()[:, :, :, ::-1]\n",
    "\n",
    "    for bs in range(batch_size):\n",
    "        probs_ = net_out[bs][:, :resize_hw[bs][0], :resize_hw[bs][1]].transpose((1, 2, 0))\n",
    "        ori_h, ori_w = img_lst[bs].shape[0], img_lst[bs].shape[1]\n",
    "        probs_ = cv2.resize(probs_, (ori_w, ori_h))\n",
    "        result_lst.append(probs_)\n",
    "\n",
    "    return result_lst\n",
    "\n",
    "\n",
    "def eval_batch_scales(args, eval_net, img_lst, scales,\n",
    "                      base_crop_size=513, flip=True):\n",
    "    sizes_ = [int((base_crop_size - 1) * sc) + 1 for sc in scales]\n",
    "    probs_lst = eval_batch(args, eval_net, img_lst, crop_size=sizes_[0], flip=flip)\n",
    "    #print(sizes_)\n",
    "    for crop_size_ in sizes_[1:]:\n",
    "        probs_lst_tmp = eval_batch(args, eval_net, img_lst, crop_size=crop_size_, flip=flip)\n",
    "        for pl, _ in enumerate(probs_lst):\n",
    "            probs_lst[pl] += probs_lst_tmp[pl]\n",
    "\n",
    "    result_msk = []\n",
    "    for i in probs_lst:\n",
    "        result_msk.append(i.argmax(axis=2))\n",
    "    return result_msk\n",
    "\n",
    "# The color source: print(list(colors.cnames.keys()))\n",
    "#print(list(colors.cnames.keys()))\n",
    "num_class = {0: 'background', 1: 'aeroplane', 2: 'bicycle', 3: 'bird', 4: 'boat', 5: 'bottle', 6: 'bus', 7: 'car', 8: 'cat',\n",
    "             9: 'chair', 10: 'cow', 11: 'diningtable', 12: 'dog', 13: 'horse', 14: 'motorbike', 15: 'person', 16: 'pottedplant',\n",
    "             17: 'sheep', 18: 'sofa', 19: 'train', 20: 'tvmonitor', 21: 'edge'}\n",
    "\n",
    "num_color = {0:'aliceblue', 1:'grey', 2:'red', 3:'green', 4:'darkorange', 5:'lime', 6:'bisque',\n",
    "     7:'black', 8:'blanchedalmond', 9:'blue', 10:'blueviolet', 11:'brown', 12:'burlywood', 13:'cadetblue', \n",
    "     14:'darkorange', 15:'tan', 16:'darkviolet', 17:'cornflowerblue', 18:'yellow', 19:'crimson', 20:'darkcyan'}\n",
    "\n",
    "color_dic = [num_color[k] for k in sorted(num_color.keys())]\n",
    "bounds = list(range(21))\n",
    "cmap = mpl.colors.ListedColormap(color_dic)\n",
    "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n",
    "\n",
    "def num_to_ClassAndColor(num_list):\n",
    "    color_ = []\n",
    "    class_ = []\n",
    "    for num in num_list:\n",
    "        color_.append(num_class[num])\n",
    "        class_.append(num_color[num])\n",
    "    return color_,class_\n",
    "\n",
    "\n",
    "def net_eval(args):\n",
    "    # network\n",
    "    if args.model == 'deeplab_v3_s16':\n",
    "        network = deeplab_v3.DeepLabV3('eval', args.num_classes, 16, args.freeze_bn)\n",
    "    elif args.model == 'deeplab_v3_s8':\n",
    "        network = deeplab_v3.DeepLabV3('eval', args.num_classes, 8, args.freeze_bn)\n",
    "    else:\n",
    "        raise NotImplementedError('model [{:s}] not recognized'.format(args.model))\n",
    "\n",
    "    eval_net = BuildEvalNetwork(network)\n",
    "\n",
    "    # load model\n",
    "    param_dict = load_checkpoint(args.ckpt_file)\n",
    "    load_param_into_net(eval_net, param_dict)\n",
    "    eval_net.set_train(False)\n",
    "    \n",
    "    # data list\n",
    "    with open(args.data_lst) as f:\n",
    "        img_lst = f.readlines()\n",
    "        \n",
    "    # evaluate\n",
    "    hist = np.zeros((args.num_classes, args.num_classes))\n",
    "    batch_img_lst = []\n",
    "    batch_msk_lst = []\n",
    "    bi = 0\n",
    "    image_num = 0\n",
    "    for i, line in enumerate(img_lst):\n",
    "        id_ = line.strip()\n",
    "        img_path = os.path.join(cfg.voc_img_dir, id_ + '.jpg')\n",
    "        msk_path = os.path.join(cfg.voc_anno_gray_dir, id_ + '.png')\n",
    "            \n",
    "        img_ = cv2.imread(img_path)\n",
    "        msk_ = cv2.imread(msk_path, cv2.IMREAD_GRAYSCALE)\n",
    "        batch_img_lst.append(img_)\n",
    "        batch_msk_lst.append(msk_)\n",
    "        if args.if_png:\n",
    "            batch_res = eval_batch_scales(args, eval_net, batch_img_lst, scales=args.scales,\n",
    "                                          base_crop_size=args.crop_size, flip=args.flip)\n",
    "            \n",
    "            height ,weight = batch_res[0].shape\n",
    "            batch_msk_lst[0][batch_msk_lst[0]==args.ignore_label] = 0\n",
    "            \n",
    "            plt.figure(figsize=(3 * weight/1024*10, 2 * height/1024*10))\n",
    "            plt.subplot(1,3,1)\n",
    "            image = Image.open(img_path)\n",
    "            plt.imshow(image)\n",
    "            \n",
    "            plt.subplot(1,3,2)\n",
    "            plt.imshow(image)\n",
    "            plt.imshow(batch_res[0],alpha=0.8,interpolation='none', cmap=cmap, norm=norm)\n",
    "            \n",
    "            \n",
    "            plt.subplot(1,3,3)\n",
    "            plt.imshow(image)\n",
    "            plt.imshow(batch_msk_lst[0],alpha=0.8,interpolation='none', cmap=cmap, norm=norm)\n",
    "            plt.show()\n",
    "            \n",
    "            prediction_num = np.unique(batch_res[0])\n",
    "            real_num = np.unique(batch_msk_lst[0])\n",
    "            \n",
    "            prediction_color,prediction_class = num_to_ClassAndColor(prediction_num)\n",
    "            print('prediction num:',prediction_num)\n",
    "            print('prediction color:',prediction_color)\n",
    "            print('prediction class:',prediction_class)\n",
    "            real_color,real_class = num_to_ClassAndColor(real_num)\n",
    "            print('groundtruth num:',real_num)\n",
    "            print('groundtruth color:',real_color)\n",
    "            print('groundtruth class:',real_class)\n",
    "            batch_img_lst = []\n",
    "            batch_msk_lst = []\n",
    "            if i < args.num_png-1:\n",
    "                continue\n",
    "            else:\n",
    "                return\n",
    "            \n",
    "        bi += 1\n",
    "        if bi == args.batch_size:\n",
    "            batch_res = eval_batch_scales(args, eval_net, batch_img_lst, scales=args.scales,\n",
    "                                          base_crop_size=args.crop_size, flip=args.flip)\n",
    "            for mi in range(args.batch_size):\n",
    "                hist += cal_hist(batch_msk_lst[mi].flatten(), batch_res[mi].flatten(), args.num_classes)\n",
    "\n",
    "            bi = 0\n",
    "            batch_img_lst = []\n",
    "            batch_msk_lst = []\n",
    "            if (i+1)%100 == 0:\n",
    "                print('processed {} images'.format(i+1))\n",
    "        image_num = i\n",
    "\n",
    "    if bi > 0:\n",
    "        batch_res = eval_batch_scales(args, eval_net, batch_img_lst, scales=args.scales,\n",
    "                                      base_crop_size=args.crop_size, flip=args.flip)\n",
    "        for mi in range(bi):\n",
    "            hist += cal_hist(batch_msk_lst[mi].flatten(), batch_res[mi].flatten(), args.num_classes)\n",
    "        if (i+1) % 100 == 0:\n",
    "            print('processed {} images'.format(image_num + 1))\n",
    "\n",
    "    iu = np.diag(hist) / (hist.sum(1) + hist.sum(0) - np.diag(hist))\n",
    "    print('mean IoU', np.nanmean(iu))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.265.154 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.287.509 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.309.729 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.350.913 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.378.313 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.404.449 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the gray file is already exists！\n",
      "loading checkpoing: ./model/deeplab_v3_s8-3_91.ckpt\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.431.082 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.498.200 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.540.330 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.584.743 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.626.738 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.670.083 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.719.287 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.762.937 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.806.586 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.850.812 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.894.838 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.939.251 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:05.982.186 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.244.85 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.671.95 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.109.313 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.151.163 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.193.375 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.236.801 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.282.274 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.324.741 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.372.972 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.419.286 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.461.393 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.621.915 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.731.918 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:15:06.836.996 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processed 100 images\n",
      "processed 200 images\n",
      "processed 300 images\n",
      "processed 400 images\n",
      "processed 500 images\n",
      "processed 600 images\n",
      "processed 700 images\n",
      "processed 800 images\n",
      "processed 900 images\n",
      "processed 1000 images\n",
      "processed 1100 images\n",
      "processed 1200 images\n",
      "processed 1300 images\n",
      "processed 1400 images\n",
      "mean IoU 0.7759366994177871\n"
     ]
    }
   ],
   "source": [
    "# test  1\n",
    "cfg = edict({\n",
    "    \"batch_size\": 1,\n",
    "    \"crop_size\": 513,\n",
    "    \"image_mean\": [103.53, 116.28, 123.675],\n",
    "    \"image_std\": [57.375, 57.120, 58.395],\n",
    "    \"scales\": [1.0],           # [0.5,0.75,1.0,1.25,1.75]\n",
    "    'flip': True,\n",
    "\n",
    "    'ignore_label': 255,\n",
    "    'num_classes':21,\n",
    "\n",
    "    'model': 'deeplab_v3_s8',\n",
    "    'freeze_bn': True,\n",
    "    \n",
    "    'if_png':False,\n",
    "    'num_png':10\n",
    "})\n",
    "\n",
    "\n",
    "data_path = './VOC2012'\n",
    "if not os.path.exists(data_path):\n",
    "    mox.file.copy_parallel(src_url=\"s3://share-course/dataset/voc2012/\", dst_url=data_path)\n",
    "cfg.data_file = data_path\n",
    "\n",
    "# dataset\n",
    "dataset = data_generator.SegDataset(image_mean=cfg.image_mean,\n",
    "                                    image_std=cfg.image_std,\n",
    "                                    data_file=cfg.data_file)\n",
    "dataset.get_gray_dataset()\n",
    "cfg.data_lst = os.path.join(cfg.data_file,'ImageSets/Segmentation/val.txt')\n",
    "cfg.voc_img_dir = os.path.join(cfg.data_file,'JPEGImages')\n",
    "cfg.voc_anno_gray_dir = os.path.join(cfg.data_file,'SegmentationClassGray')\n",
    "\n",
    "ckpt_path = './model'\n",
    "if not os.path.exists(ckpt_path):\n",
    "    mox.file.copy_parallel(src_url=\"s3://yyq-3/DATA/code/deeplabv3/model\", dst_url=ckpt_path)   #if yours model had saved\n",
    "cfg.ckpt_file = os.path.join(ckpt_path,'deeplab_v3_s8-3_91.ckpt')  \n",
    "print('loading checkpoing:',cfg.ckpt_file)\n",
    "\n",
    "net_eval(cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.669.463 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.692.014 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.714.431 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.753.040 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.779.059 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the gray file is already exists！\n",
      "loading checkpoing: ./model/deeplab_v3_s8-3_91.ckpt\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.805.592 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.831.830 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.894.186 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.935.900 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:33.977.288 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.197.99 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.643.41 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.106.685 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.147.998 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.190.286 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.233.794 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.382.774 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.425.114 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.466.416 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.510.442 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.553.959 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.595.989 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.638.019 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.680.547 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.722.844 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.765.073 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.807.151 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.849.725 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.892.274 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:34.934.708 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:35.105.676 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:35.223.489 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n",
      "[WARNING] ME(70228:281473343813168,MainProcess):2021-03-02-19:19:35.342.803 [mindspore/ops/operations/math_ops.py:171] WARN_DEPRECATED: The usage of TensorAdd is deprecated. Please use Add.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1054.69x514.688 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prediction num: [0 1]\n",
      "prediction color: ['background', 'aeroplane']\n",
      "prediction class: ['aliceblue', 'grey']\n",
      "groundtruth num: [0 1]\n",
      "groundtruth color: ['background', 'aeroplane']\n",
      "groundtruth class: ['aliceblue', 'grey']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1054.69x471.094 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prediction num: [ 0 19]\n",
      "prediction color: ['background', 'train']\n",
      "prediction class: ['aliceblue', 'crimson']\n",
      "groundtruth num: [ 0 19]\n",
      "groundtruth color: ['background', 'train']\n",
      "groundtruth class: ['aliceblue', 'crimson']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1054.69x468.281 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prediction num: [0 4]\n",
      "prediction color: ['background', 'boat']\n",
      "prediction class: ['aliceblue', 'darkorange']\n",
      "groundtruth num: [0 4]\n",
      "groundtruth color: ['background', 'boat']\n",
      "groundtruth class: ['aliceblue', 'darkorange']\n"
     ]
    }
   ],
   "source": [
    "# test 2\n",
    "cfg = edict({\n",
    "    \"batch_size\": 1,\n",
    "    \"crop_size\": 513,\n",
    "    \"image_mean\": [103.53, 116.28, 123.675],\n",
    "    \"image_std\": [57.375, 57.120, 58.395],\n",
    "    \"scales\": [1.0],           # [0.5,0.75,1.0,1.25,1.75]\n",
    "    'flip': True,\n",
    "\n",
    "    'ignore_label': 255,\n",
    "    'num_classes':21,\n",
    "\n",
    "    'model': 'deeplab_v3_s8',\n",
    "    'freeze_bn': True,\n",
    "    \n",
    "    'if_png':True,\n",
    "    'num_png':3\n",
    "\n",
    "})\n",
    "\n",
    "import moxing as mox\n",
    "data_path = './VOC2012'\n",
    "if not os.path.exists(data_path):\n",
    "    mox.file.copy_parallel(src_url=\"s3://share-course/dataset/voc2012/\", dst_url=data_path)\n",
    "cfg.data_file = data_path\n",
    "\n",
    "# dataset\n",
    "dataset = data_generator.SegDataset(image_mean=cfg.image_mean,\n",
    "                                    image_std=cfg.image_std,\n",
    "                                    data_file=cfg.data_file)\n",
    "dataset.get_gray_dataset()\n",
    "cfg.data_lst = os.path.join(cfg.data_file,'ImageSets/Segmentation/val.txt')\n",
    "cfg.voc_img_dir = os.path.join(cfg.data_file,'JPEGImages')\n",
    "cfg.voc_anno_gray_dir = os.path.join(cfg.data_file,'SegmentationClassGray')\n",
    "\n",
    "ckpt_path = './model'\n",
    "if not os.path.exists(ckpt_path):\n",
    "    mox.file.copy_parallel(src_url=\"s3://yyq-3/DATA/code/deeplabv3/model\", dst_url=ckpt_path)     #if yours model had saved\n",
    "cfg.ckpt_file = os.path.join(ckpt_path,'deeplab_v3_s8-3_91.ckpt')  \n",
    "print('loading checkpoing:',cfg.ckpt_file)\n",
    "\n",
    "net_eval(cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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